\begin{table}
\centering
\caption{Self-monitoring and voting for candidates of color among white Democratic study participants.}
\centering
\begin{threeparttable}
\begin{tabular}[t]{lcc}
\toprule
  & &nbsp;DV: Voted for Black profile & &nbsp;DV: Important to vote for POC\\
\midrule
Self-monitoring index & −0.008 & 0.543***\\
 & (0.105) & (0.060)\\
Intercept & 0.575*** & 0.163***\\
 & (0.037) & (0.021)\\
Num.Obs. & 469 & 469\\
R2 & 0.000 & 0.147\\
\bottomrule
\multicolumn{3}{l}{\rule{0pt}{1em}+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001}\\
\end{tabular}
\begin{tablenotes}
\item \textit{Note: } 
\item This table presents the results of linear regression models. The dependent variable in the first column is coded 0 if the participant selected a white candidate profile and 1 if the participant selected a Black candidate profile in a conjoint task. The dependent variable in the second column is an item asking how important it is that a candidate is a person of color. The explanatory variable is self-monitoring, which is coded from 0 (low) to 1 (high). Data are weighted for demographic representativeness by gender, region, and age group. Data are from Lucid Study 1.
\end{tablenotes}
\end{threeparttable}
\end{table}
